A Survey of Emerging Memory in a Microcontroller Unit
L Qi, J Fan, H Cai, Z Fang - Micromachines, 2024 - mdpi.com
In the era of widespread edge computing, energy conservation modes like complete power
shutdown are crucial for battery-powered devices, but they risk data loss in volatile memory …
shutdown are crucial for battery-powered devices, but they risk data loss in volatile memory …
RoboVisio: A Micro-Robot Vision Domain-Specific SoC for Autonomous Navigation Enabling Fully-on-Chip Intelligence via 2-MB eMRAM
This article presents RoboVisio, an efficient and highly flexible domain-specific system-on-
chip (SoC) for vision tasks in fully autonomous micro-robot navigation. A novel hybrid …
chip (SoC) for vision tasks in fully autonomous micro-robot navigation. A novel hybrid …
An Ultra-Low-Power H. 264/AVC Intra-Frame Image Compression Accelerator for Intelligent Event-Driven IoT Imaging Systems
This letter presents an ultralow-power (ULP) H. 264/AVC intra-frame image compression
accelerator tailored for intelligent event-driven ULP IoT imaging systems. The H. 264/AVC …
accelerator tailored for intelligent event-driven ULP IoT imaging systems. The H. 264/AVC …
ED-MPIM: An Energy-Efficient Event-Driven Smart Vision SoC With High-Linearity and Reconfigurable MRAM PIM
This study introduces an event-driven smart vision system-on-chip (SoC) using a
reconfigurable and high-linearity magnetoresistive random access memory (MRAM) …
reconfigurable and high-linearity magnetoresistive random access memory (MRAM) …
AIMMI: Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte On-Chip MRAM for IoT Devices
In this article, we present an ultra-low-power multi-modal signal processing system on chip
(SoC)[audio and image multi-modal intelligence (AIMMI)] that integrates a versatile deep …
(SoC)[audio and image multi-modal intelligence (AIMMI)] that integrates a versatile deep …
An Edge Accelerator With 5 MB of 0.256-pJ/bit Embedded RRAM and a Localization Solver for Bristle Robot Surveillance
Accelerators for miniaturized robots addressing tasks such as autonomous surveillance
need to balance their compute capabilities against the requirements for low energy use and …
need to balance their compute capabilities against the requirements for low energy use and …
Domain-Specific Acceleration: From Efficient Vision Processing Hardware to High-Performance Quantum Computing Software
Q Zhang - 2024 - deepblue.lib.umich.edu
With the end of Dennard scaling and the decline of Moore's law, there are no longer
'free'performance and efficiency gains from semiconductor technology advancements …
'free'performance and efficiency gains from semiconductor technology advancements …
A 22nm 9.51 TOPS/W Neural Engine with 2MB MRAM Leveraging Sparse-Orthogonal Walsh-Hadamard Transform Computations and Dynamic Power Gating
We present the first silicon implementation of a Walsh-Hadamard transform based neural
network (WHT-NN) processor featuring 2MB MRAM for all-on-chip weight storage, targeting …
network (WHT-NN) processor featuring 2MB MRAM for all-on-chip weight storage, targeting …
Deep Learning-Based Joint Channel Coding and Frequency Modulation for Low Power Connectivity
Low-power, low-cost wireless communication is a fundamental requirement of Internet-of-
Things (IoT) and massive machine-type communication (mMTC). Various low power …
Things (IoT) and massive machine-type communication (mMTC). Various low power …
[PDF][PDF] An Ultralow-Power H. 264/AVC Intra-Frame Image Compression Accelerator for Intelligent Event-Driven IoT Imaging Systems
D Blaauw, D Sylvester - blaauw.engin.umich.edu
This letter presents an ultralow-power (ULP) H. 264/AVC intra-frame image compression
accelerator tailored for intelligent eventdriven ULP IoT imaging systems. The H. 264/AVC …
accelerator tailored for intelligent eventdriven ULP IoT imaging systems. The H. 264/AVC …